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Papers matching “estimation error bounds” 87

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Maximum Likelihood Estimation in the Additive Hazards Model
2022 Biometrics article Mathematics Statistical Methods and Inference Open access

Chengyuan Lu, Jelle J. Goeman, Hein Putter

16

citations
A posteriori error estimates for a finite volume approximation of a local sensing Keller-Segel model
2026 arXiv (Cornell University) preprint Mathematics Mathematical Biology Tumor Growth Open access

Niklas Kolbe, Kiwoong Kwon

0

citations
Sequential Conditional Independence Testing with Machine Learning Models
2026 arXiv (Cornell University) preprint Mathematics Advanced Causal Inference Techniques Open access

Angel Reyero Lobo, Michele Meziu, Sebastian Uriel Arias, P. Grünwald

0

citations
Anwendung der Reduzierten Basismethode in Geophysikalischen Simulationen: Konzepte, Implementierung, Vorteile und Einschränkungen
2020 RWTH Publications (RWTH Aachen) dissertation Physics and Astronomy Model Reduction and Neural Networks Open access

Denise Degen

9

citations
Cheeger Bounds for Stable Phase Retrieval in Reproducing Kernel Hilbert Spaces
2025 arXiv (Cornell University) preprint Mathematics Mathematical Analysis and Transform Methods Open access

Hartmut Führ, Max Getter

3

citations
Heisenberg-limited quantum phase estimation of multiple eigenvalues with few control qubits
2022 Quantum article Computer Science Quantum Computing Algorithms and Architecture Open access cited by 1 patent

Alicja Dutkiewicz, Barbara M. Terhal, Thomas E. O apos Brien

33

citations
Cross-Validation and Uncertainty Determination for Randomized Neural Networks with Applications to Mobile Sensors
2021 arXiv (Cornell University) preprint Computer Science Machine Learning and ELM Open access

Ansgar Steland, Bart Elger Pieters

1

citations
Cluster-aware continuous treatment effect estimation via Hellinger-based balanced representation learning
2026 Signal Processing article Mathematics Advanced Causal Inference Techniques Open access

Siyuan Zhao, Yiran Zhuo, Hongchang Liu, Lincen Yang, Shujian Yu

0

citations
Context-Adaptive Thresholding for Conditionally Representative Monitoring and Classification
2026 arXiv (Cornell University) preprint Computer Science Imbalanced Data Classification Techniques Open access

Ansgar Steland

0

citations
Machine Learning Optimal Quantum Error Correction Thresholds
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Dominik Seip, Luis Colmenárez, Markus Schmitt, Markus Michael Müller

3

citations
Machine Learning Optimal Quantum Error Correction Thresholds
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Dominik Seip, Luis Colmenárez, Markus Schmitt, Markus Michael Müller

0

citations
Cooperative Elliptic Positioning Through Single UAV During GNSS Outages
2024 IEEE Transactions on Wireless Communications article Engineering Indoor and Outdoor Localization Technologies cited by 1 patent

Yiming Li, Xinyuan Zhang, Xiaoshuai Li, Zhihe Chen, Yulin Hu, Junan Yang, +1 more

10

citations
Optimal experimental design for guaranteed parameter estimation with rigorous formulation of the embedded liquid-liquid equilibrium
2026 Chemical Engineering Science article Decision Sciences Optimal Experimental Design Methods Open access

Daniel Jungen, Jan-Frederic Laub, Alexander Mitsos

0

citations
Discretization error analysis for a radially symmetric harmonic map heat flow problem
2025 IMA Journal of Numerical Analysis article Engineering Advanced Numerical Methods in Computational Mathematics Open access

Arnold Reusken

1

citations
Developing a Spoofer Error Envelope for Tracking GNSS Signals
2022 NAVIGATION Journal of the Institute of Navigation article Engineering GNSS positioning and interference Open access

Tobias Bamberg, Andriy Konovaltsev, Michael Meurer

4

citations
One-Round Cross-Validation and Uncertainty Determination for Randomized Neural Networks with Applications to Mobile Sensors
2022 Springer eBooks book-chapter Computer Science Machine Learning and ELM

Ansgar Steland, Bart Elger Pieters

3

citations
Data-driven uncertainty quantification for constrained stochastic differential equations and application to solar photovoltaic power forecast data
2025 Statistics and Computing article Engineering Energy Load and Power Forecasting Open access

Khaoula Ben Chaabane, Ahmed Kebaier, Marco Scavino, Raul F. Tempone

4

citations
Double-loop randomized quasi-Monte Carlo estimator for nested integration
2023 RWTH Publications (RWTH Aachen) preprint Mathematics Mathematical Approximation and Integration Open access

Arved Bartuska, André Gustavo Carlon, Luis Espath, Sebastian Krumscheid, Raul F. Tempone

0

citations
Reduced basis methods for real-time thermal ablation treatment planning in cancer therapy
2024 RWTH Publications (RWTH Aachen) dissertation Physics and Astronomy Model Reduction and Neural Networks Open access

Zoi Tokoutsi

0

citations
Consistency of Extreme Learning Machines and Regression under Non-Stationarity and Dependence for ML-Enhanced Moving Objects
2020 arXiv (Cornell University) preprint Computer Science Machine Learning and ELM Open access

Ansgar Steland

0

citations
Multilevel randomized quasi Monte Carlo Estimator for nested integration
2024 arXiv (Cornell University) preprint Mathematics Mathematical Approximation and Integration Open access

Arved Bartuska, André Gustavo Carlon, Luis Espath, Sebastian Krumscheid, Raul F. Tempone

0

citations
Non-Asymptotic Analysis of Projected Gradient Descent for Physics-Informed Neural Networks
2025 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Jonas Nießen

0

citations
Optimal rates of convergence for entropy regularization in discounted Markov decision processes
2026 Information and Inference A Journal of the IMA article Computer Science Reinforcement Learning in Robotics Open access

Semih Çaycı

4

citations
Determination of throughput guarantees for processor-based SmartNICs
2021 ACM International Conference on emerging Networking EXperiments and Technologies (CoNEXT) conference-paper Computer Science Network Packet Processing and Optimization

Johannes Krude, Jan Rüth, Daniel Schemmel, Felix Rath, Iohannes-Heorh Folbort, Klaus Wehrle

5

citations
Does Compression Imply Generalization? A Minimum Description Length Perspective
2026 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Lincen Yang, Jiayang Shi, Nan Pu, Daniël M. Pelt, Matthijs van Leeuwen, Zhong Li, +1 more

0

citations